R/dataset-orange_df.R

In dataset: Create Data Frames that are Easier to Exchange and Reuse

#' @title Growth of Orange Trees
#'
#' @description
#' The Orange data frame has 35 rows and 3 columns of records of\cr
#'  the growth of orange trees. This is a replication of\cr
#' \code{datasets::\link[datasets]{Orange}} as \emph{dataset_df} s3 class.
#'
#' @details See \code{datasets::\link[datasets]{Orange}} for details.
#'
#' @format
#' orange_df is a data frame with 35 cases (rows) and 3 variables (columns)
#' named rowid, tree, age, circumference.
#' @references
#' Becker, R. A., Chambers, J. M. and Wilks, A. R. (1988) The New S Language.
#' Wadsworth & Brooks/Cole.
#' @source
#' Draper, N. R. and Smith, H. (1998), Applied Regression Analysis (3rd ed),
#' Wiley (exercise 24.N). Pinheiro, J. C. and Bates, D. M. (2000) Mixed-effects
#' Models in S and S-PLUS, Springer.
#' @examples
#' # The columns allow rich semantic definitions
#' print(orange_df)
#'
#' # Each column may have a concept and namespace definition, and a long-form
#' # human readable label:
#'  print(orange_df$age)
#'
#'  # The bibliographical record of the dataset is not detached from the
#'  # data.frame, tibble, or similar tabular structured object:
#'  as_dublincore(orange_df)
"orange_df"